When most operators switch to cashless payments, the first thing they celebrate is the convenience — no coin jams, no cash counting at close. But there's a second benefit hiding in your dashboard that often goes untapped: transaction data that tells you exactly what guests are spending, when, and on which machines.
That data is a pricing tool. Here's how to put it to work.
Why Static Pricing Leaves Money on the Table
Most arcade and FEC operators set game prices once during installation and rarely revisit them. The logic is simple: tokens cost a dollar, games cost one or two tokens, done. But static pricing ignores a few uncomfortable truths:
- Your most popular machines could sustain higher play prices without losing volume.
- Your slow machines might need a price drop — or a better location — to justify the floor space.
- Peak hours (Friday nights, Saturday afternoons) attract guests who are less price-sensitive than a Tuesday morning crowd.
Cashless data makes all three of these dynamics visible. Without it, you're guessing.
What to Look For in Your Dashboard
Open your ArcadePay transaction history and look for three metrics on a per-machine basis:
1. Play Volume by Machine
Which machines are getting the most plays per day? High-volume machines are your anchors. Guests seek them out and will pay a small premium. Low-volume machines deserve a second look — is the price too high, the placement bad, or is the game simply aging out of favor?
2. Revenue per Square Foot (Estimated)
This one takes a little math, but it's worth it. If you know a machine's footprint and its daily revenue, you can rank your floor by efficiency. A pinball table that earns $40/day in 12 square feet is outperforming a driving sim that earns $30/day in 25 square feet — even though the driving sim looks impressive and takes up prime real estate.
3. Peak vs. Off-Peak Transaction Patterns
Filter your transactions by day of week and time of day. If you're running heavy volume on Friday and Saturday between 6–9 PM, those hours are effectively a different market. Guests in that window are there for a night out — they're not comparison-shopping your per-play price against the pizza place next door.
Practical Pricing Adjustments to Test
Once you have the data, here are a few moves worth testing:
Price up your top 3 earners by 10–15%. If a machine is already seeing 80+ plays a day, it has earned some pricing power. A modest increase is unlikely to crater volume, and the marginal revenue adds up quickly over a month.
Price down machines in the bottom quartile. If a machine is consistently underperforming, it might not need a better game — it might just need a lower barrier to entry. Dropping a game from $1.50 to $1.00 can shift curious guests from "maybe later" to "let's try it."
Consider time-of-day bundles. Some cashless setups allow for promotional QR codes or value packs. If your slow period is 11 AM–3 PM on weekdays, a "5 plays for $4" midday bundle drives incremental traffic without discounting your prime-time earnings.
A Note on Guest Psychology
Cashless payments naturally smooth out the psychological friction of spending. When guests aren't handling physical coins, they're less aware of the per-play cost and more focused on the experience. That's a gentle tailwind for pricing — use it thoughtfully, not exploitatively.
The goal isn't to extract every dollar. It's to find the price point where guests feel the value matches the spend, and where your highest-demand machines are rewarded with appropriate revenue. That balance is good for the guest experience and good for your bottom line.
Making It a Habit
Pricing reviews don't need to be a quarterly event. Set a monthly calendar reminder to pull your top 10 machines by revenue, compare them to the prior month, and ask: did anything shift? Did a machine spike after a weekend promotion? Did something fall off after a repair delay?
The operators who get the most out of cashless aren't the ones who installed it and walked away. They're the ones who treat the dashboard as a business intelligence tool — checking it regularly, adjusting deliberately, and compounding small improvements over time.
Your data is already there. The pricing strategy is just what you do with it.